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-function relationship relevant to diverse food applications. The phenotypic data obtained will be aligned with genotypic data (e.g., Genotyping-by-Sequencing, etc.) to identify genomic regions and candidate
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related to grain protein quality, aroma profiles, and protein structure-function relationship relevant to diverse food applications. The phenotypic data obtained will be aligned with genotypic data (e.g
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating
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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information
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breast‑tissue images, detailed clinical annotations and outcomes, and whole‑genome sequencing data. While many of these resources originate from our own laboratory, you will also curate complementary
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nine research groups with a total of ~60 researchers and constitute a collaborative and inclusive research environment. In our research group, we apply large-scale sequencing, molecular genetic and
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experience in the analysis and handling of single-cell RNA sequencing data. Experience working with tumor genomic analyses. Great importance will be placed on suitable personal qualities. The role requires
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in the assessment. Additional qualifications Required: Doctoral degree in Bioinformatics or equivalent. Documented experience in the analysis and handling of single-cell RNA sequencing data. Experience
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Artificial intelligence (AI) is transforming forensics by enabling unprecedented precision in tracing the geographical origins and transmission routes of genomic sequences. Despite the growing